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Python Data Science Certification Course

4.9 218 Ratings 3,191 Learners

Python for Data Science certification course enables you to master Data Science using Python. You will work on various Python libraries such as SciPy, NumPy, Matplotlib, Lambda function, etc. You will master Data Science Analytics skills through real-world projects covering multiple domains such as retail, e-commerce, finance, etc

Ranked #1 Data Science Program by India TV

Key Features

39 Hrs Instructor-led Training
24 Hrs Self-paced Videos
50 Hrs Project Work & Exercises
Flexible Schedule
24 x 7 Lifetime Support & Access
Certification and Job Assistance

Career Transitions

Yogesh Kumar
Yogesh Kumar
Consultant to Tech Profile
Associate Consultant intellipaat-image
Senior Software Engineer intellipaat-image
Poojitha Pastham
Poojitha Pastham
Non Tech to Tech
Assistant Manager intellipaat-image
Sr. Software Engineer intellipaat-image
Er. Sushil Kuvind
Er. Sushil Kuvind
Database Developer to Programmer
Software Database Developer intellipaat-image
Developer intellipaat-image
Sawal Jain
Sawal Jain
Developer to Consultant
Software Developer intellipaat-image
Associate Consultant intellipaat-image

Course Benefits

4.9/5 Student Satisfaction Rating
Students Transitioned for Higher Positions
Started a New Career After Completing Our Courses
Got Better Salary Hike and Promotion
Average Salary Per Year $ 16983
Associate Data Scientist
Data Scientist
Chief Data Scientist
$ 12053 Starting
$ 16983 Median
$ 50651 Experienced
Companies Hiring Python Data Science Professionals
intellipaat-image intellipaat-image
intellipaat-image intellipaat-image
And 1,000+ Global Companies

Python Data Science Course Overview

The Data Science with Python course helps you learn Python programming required for Data Science. In this Data Science with Python training, you will master the technique of how Python is deployed for Data Science, working with Pandas library for Data Science, data cleaning, data visualization, Machine Learning, advanced numeric analysis, etc., all through real-world projects and case studies.

What will you learn in this Python Data Science course?

  1. Introduction to Python for Data Science
  2. OOP concepts, expressions, and functions
  3. What is SQLite in Python? Operations and classes
  4. Creating Pig and Hive UDF in Python
  5. Deploying Python for MapReduce programming
  6. Real-world Data Science projects
  • BI Managers and Project Managers
  • Software Developers and ETL Professionals
  • Analytics Professionals
  • Big Data Professionals
  • Those who are wanting to have a career in Python

You don’t need any specific knowledge for this Data Science with Python course. Though, a basic knowledge of programming can help.

  • Python’s design and libraries provide 10 times more productivity compared to C, C++, or Java
  • A Senior Python Developer in the United States can earn US$102,000/year – Indeed

Python is one of the best programming languages that is used for the domain of Data Science. Intellipaat is offering the definitive Python for Data Science course for learning Python coding and running it on various systems such as Windows, Linux, and Mac, which makes it one of the highly versatile languages for the domain of Data Analytics. Upon the completion of this Data Science with Python course training, you will be able to get the best jobs in the Data Science domain at top salaries.

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Data Scientist: The Sexiest Job of the 21st Century - Harvard Business Review
Data really powers everything that we do. - By Jeff Weiner, CEO of LinkedIn

Skills Covered

  • Probability & Statistics
  • Machine Learning
  • Programming
  • Data Manipulation
  • Data Visualization with Matplotlib
  • OOPS in Python
  • Dimensionality Reduction
  • Time Series Forecasting
  • Python Integration with Spark
  • Pandas, NumPy, & Scikit-Learn
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Self Paced Training

  • 24 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access

Online Classroom preferred

  • Everything in self-paced, plus
  • 39 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 27 Jul
  • TUE - FRI
  • 07:00 AM TO 09:00 AM IST (GMT +5:30)
  • 31 Jul
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 03 Aug
  • TUE - FRI
  • 07:00 AM TO 09:00 AM IST (GMT +5:30)
  • 08 Aug
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$281 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise-grade Learning Management System (LMS)
  • 24x7 Support
  • Strong Reporting

Python Data Science Course Content

Module 01 - Introduction to Data Science using Python Preview

1.1 What is Data Science, what does a data scientist do
1.2 Various examples of Data Science in the industries
1.3 How Python is deployed for Data Science applications
1.4 Various steps in Data Science process like data wrangling, data exploration and selecting the model.
1.5 Introduction to Python programming language
1.6 Important Python features, how is Python different from other programming languages
1.7 Python installation, Anaconda Python distribution for Windows, Linux and Mac
1.8 How to run a sample Python script, Python IDE working mechanism
1.9 Running some Python basic commands
1.10 Python variables, data types and keywords.

Hands-on Exercise – Installing Python Anaconda for the Windows, Linux and Mac

Module 02 - Python basic constructs

2.1 Introduction to a basic construct in Python
2.2 Understanding indentation like tabs and spaces
2.3 Python built-in data types
2.4 Basic operators in Python
2.5 Loop and control statements like break, if, for, continue, else, range() and more.

Hands-on Exercise –
1.Write your first Python program
2. Write a Python function (with and without parameters)
3. Use Lambda expression
4. Write a class
5. Create a member function and a variable
6. Create an object and write a for loop to print all odd numbers

3.1 Central Tendency
3.2 Variability
3.3 Hypothesis Testing
3.4 Anova
3.5 Correlation
3.6 Regression
3.7 Probability Definitions and Notation
3.8 Joint Probabilities
3.9 The Sum Rule, Conditional Probability, and the Product Rule
3.10 Bayes Theorem

Hands-on Exercise –

1. We will analyze both categorical data and quantitative data
2. Focusing on specific case studies to help solidify the week’s statistical concepts

4.1 Understanding the OOP paradigm like encapsulation, inheritance, polymorphism and abstraction
4.2 What are access modifiers, instances, class members
4.3 Classes and objects
4.4 Function parameter and return type functions
4.5 Lambda expressions.

Hands-on Exercise –
1. Writing a Python program and incorporating the OOP concepts

5.1 Introduction to mathematical computing in Python
5.2 What are arrays and matrices, array indexing, array math, Inspecting a NumPy array, NumPy array manipulation

Hands-on Exercise –

1. How to import NumPy module
2. Creating array using ND-array
3. Calculating standard deviation on array of numbers and calculating correlation between two variables.

6.1 Introduction to SciPy, building on top of NumPy
6.2 What are the characteristics of SciPy
6.3 Various sub-packages for SciPy like Signal, Integrate, Fftpack, Cluster, Optimize, Stats and more, Bayes Theorem with SciPy.

Hands-on Exercise:

1. Importing of SciPy
2. Applying the Bayes theorem on the given dataset.

7.1 What is a data Manipulation. Using Pandas library
7.2 NumPy dependency of Pandas library
7.3 Series object in pandas
7.4 DataFrame in Pandas
7.5 Loading and handling data with Pandas
7.6 How to merge data objects
7.7 Concatenation and various types of joins on data objects, exploring dataset

Hands-on Exercise –

1. Doing data manipulation with Pandas by handling tabular datasets that includes variable types like float, integer, double and others.
2. Cleaning dataset, Manipulating dataset, Visualizing dataset

8.1 Introduction to Matplotlib
8.2 Using Matplotlib for plotting graphs and charts like Scatter, Bar, Pie, Line, Histogram and more
8.3 Matplotlib API

Hands-on Exercise –
1. Deploying Matplotlib for creating pie, scatter, line and histogram.
2. Subplots and Pandas built-in data visualization.

9.1 Revision of topics in Python (Pandas, Matplotlib, NumPy, scikit-Learn)
9.2 Introduction to machine learning
9.3 Need of Machine learning
9.4 Types of machine learning and workflow of Machine Learning
9.5 Uses Cases in Machine Learning, its various algorithms
9.6 What is supervised learning
9.7 What is Unsupervised Learning

Hands-on Exercise –

1. Demo on ML algorithms

10.1 What is linear regression
10.2 Step by step calculation of Linear Regression
10.3 Linear regression in Python
10.4 Logistic Regression
10.5 What is classification
10.6 Decision Tree, Confusion Matrix, Random Forest, Naïve Bayes classifier (Self paced), Support Vector Machine(self paced), XGBoost (self paced)

Hands-on Exercise – Using Python library Scikit-Learn for coming up with Random Forest algorithm to implement supervised learning.

11.1 Introduction to unsupervised learning
11.2 Use cases of unsupervised learning
11.3 What is clustering
11.4 Types of clustering(self-paced)-Exclusive clustering, Overlapping Clustering, Hierarchical Clustering(self-paced)
11.5 What is K-means clustering
11.6 Step by step calculation of k-means algorithm
11.7 Association Rule Mining(self-paced), Market Basket Analysis(self-paced), Measures in association rule mining(self-paced)-support, confidence, lift
11.8 Apriori Algorithm

Hands-on Exercise –
1. Setting up the Jupyter notebook environment
2. Loading of a dataset in Jupyter
3. Algorithms in Scikit-Learn package for performing Machine Learning techniques and training a model to search a grid.
4. Practice on k-means using Scikit
5. Practice on Apriori

12.1 Introduction to PySpark
12.2 Who uses PySpark, need of spark with python
12.3 PySpark installation
12.4 PySpark fundamentals
12.5 Advantage over MapReduce, PySpark
12.6 Use-cases PySpark and demo.

Hands-on Exercise:
1. Demonstrating Loops and Conditional Statements
2. Tuple – related operations, properties, list, etc.
3. List – operations, related properties
4. Set – properties, associated operations, dictionary – operations, related properties.

13.1 Introduction to Dimensionality
13.2 Why Dimensionality Reduction
13.3 PCA
13.4 Factor Analysis
13.5 LDA

Hands-on Exercise –
Practice Dimensionality reduction Techniques : PCA, Factor Analysis, t-SNE, Random Forest, Forward and Backward feature

14.1 White Noise
14.2 AR model
14.3 MA model
14.4 ARMA model
14.5 ARIMA model
14.6 Stationarity
14.7 ACF & PACF

Hands-on Exercise –
1. Create AR model
2. Create MA model
3. Create ARMA model

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Data Science with Python Projects

Analyzing the Trends of COVID-19 With Python

In this project, you will use Pandas to accumulate data from multiple data files, Plotly (visualization library) to create interactive visualizations, and Facebook’s Prophet libraryRead More..


Analyzing the Naming Trends Using Python

In this project, you will use Python Programming and Algorithms to understand the applications of data manipulation, extract files with useful data only, and conceptsRead More..


Performing Analysis on Customer Churn Dataset

Through this project, you will be analyzing employment reliability in the telecom industry. The project will require you to work on real-time analysis of dataRead More..


Netflix-Recommendation System

Analysis of movies dataset and recommendation of movies with respect to ratings. You will be working with the combined data of movies and their ratings,Read More..


Python Web Scraping for Data Science

In this project, you will learn web scraping using Python. You will work on Beautiful Soup, web scraping libraries, common data and page format onRead More..


OOPS in Python

Creating multiple methods using OOPS. You will work on methods like “check_balance’ to check the remaining balance in an account, “withdraw” to withdraw from theRead More..


Working With NumPy

In this case study, you will be working with the NumPy library to solve various problems in Python. You will create 2D arrays, initialize aRead More..


Visualizing and Analyzing the Customer Churn dataset using Python

This case study will require you to analyze data by building aesthetic graphs to make better sense of the data. You will be working withRead More..


Building Models With the Help of Machine Learning Algorithms

You will be designing tree-based models on the ‘Heart’ dataset, performing real-time data manipulation on the heart dataset, data-visualization for multiple columnar data, building aRead More..


Python Data Science Course Certification

How can I get Python Data Science course certification?

To get the Python Data Science certification from Intellipaat, you are required to successfully complete the whole Data Science with Python course. Further, you need to execute all the given projects and assignments that are part of this course under the guidance of our expert trainers and score over 60 percent in our certification exam. After this, you will be rewarded with our course completion certificate recognized by top companies, including Mu Sigma, Ericsson, Cognizant, Cisco, TCS, Sony, etc.

Yes. Intellipaat’s Python Data Science certification is totally worth it. Data Science is one of the most sought-after career opportunities today, and Python is the most popular language that is used in the IT industry for coding and software development purposes.

Once you complete the Data Science with Python course program from Intellipaat and clear the examination, you will receive the course completion certificate through our LMS. This certification from Intellipaat has lifetime validity and is well-recognized by leading organizations across the world.

You will receive Intellipaat’s Data Science with Python certificate once you complete the training program with us and clear the certification exam with the help of our Learning Management System. After passing the exam conducted by Intellipaat, you will get access to downloading your Data Science with Python course completion certificate from the LMS, and you can share it with your potential employers through email or LinkedIn.

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Python Data Science Course Reviews


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Payal Raheja

Sr. Python Developer at Mindfire Solutions

I loved the way Intellipaat trainers taught the Python programming language as applicable to the Data Science domain. Great work!

Alexane Hofer

Software Engineer at Accenture

I liked the dedication of Intellipaat’s support team when it came to resolving my queries, regardless of the time of the day. Hats off to the team!

Madhuri Immaneni

Sr. Technical Support Engineer

I got very a good experience with the real-time projects provided by Intellipaat. The trainer was top class. The industry experience he carried was awesome. I am more than happy with this Data Science with Python course. Looking forward to learning more from Intellipaat through its online training courses.

Sahana CP

Software Developer, Writer

I am happy that Intellipaat provided flexible scheduling of classes. They gave immense support during my classes. I am happy with the Data Science with Python course material and the instructor’s way of teaching as well. I definitely recommend this course to everyone.

Karunakara Rao P V

AGM- IT India(Infrastructure) at Siemens Gamesa

This instructor-led Python for Data Science training course is a basic-to-advanced level course. The trainer taught me all concepts from scratch. The study material really helped me understand the subject properly. Hence, I believe this is the best Data Science with Python course for beginners as well as professionals.

Mujeebur Rahman

Data Analyst at Tata Consultancy Services

When I registered for Intellipaat’s course, I was concerned that I had paid a huge amount for some training. But when the instructors were teaching each point and concept in detail, I realized that spending such an amount was really worth it. I really appreciate the way how the instructors taught the concepts. The best part was the projects that gave me hands-on experience andRead More..

Adarsh Vijay

Student at RTU

Excellent course. I found Intellipaat's training team to be talented in their respective domains. My Data Science with Python course training was very good as it helped me in upgrading my skills, which proved to be a turning point in my career. Intellipaat's mentor was well-experienced, and his teaching method was really great. This online course helped me get a deep understanding of the technology.Read More..

Sachin Bhatia

QA Engineer at NOKIA

The best training program ever! My decision to learn from Intellipaat was the best to upgrade my career. This course gave a thorough understanding of the subject. I recently completed this Data Science with Python course and experienced good quality teaching offered by Intellipaat.

Shailja Sehgal

Software Engineer

I had the best learning experience at Intellipaat. The projects, assignments, and course content were awesome. I would like to enroll in other courses that are offered by Intellipaat.

Himanshu Oberoi

Associate R&D Manager at Stryker

Great teaching team! All trainers and the support team were very helpful and easily reachable. The content of this Data Science with Python course program covered all the topics from basic to advanced modules.

Shamirna Micheal

Associate Professional Application Delivery at CSC

Genuine platform for learning. I finished my Data Science with Python course recently from Intellipaat. The trainers were excellent in teaching. Further, the course was well-structured, and the lectures were really flexible. I was working, and I still got time to complete the course within the given time. It was mainly possible because of the 24/7 support system and the clarity of their teaching. Besides,Read More..


Communication cell at JGEC || SPEC

Amazing learning experience with this Data Science with Python course! It was a great learning experience with Intellipaat. The courseware was comprehensive and had a variety of materials such as videos, PPTs, and PDFs that were neatly organized. Further, there were hands-on projects, assignments, and code files for each module. And most importantly, the support I received as a learner while pursuing my course wasRead More..

Sonali Hawaldar

Jr. Engineer at Technosoft Technology

It was a wonderful learning experience with Intellipaat. I did my Python for Data Science course with them. The tutor was very knowledgeable and had decent methods and tricks to explain the topics clearly. Also, there are self-paced lectures available 24/7, so it's very easy to follow the videos anytime we want. The assignments given were quite challenging. They always encourage their students to finishRead More..

Python Data Science Course FAQs

Why should I learn Python for Data Science from Intellipaat?

Intellipaat’s Python for Data Science training will give you hands-on experience in mastering one of the best programming languages, that is Python. In this online Data Science with Python course, you will learn about the basic and advanced concepts of Python, including MapReduce in Python, Machine Learning, Hadoop streaming, etc. and also Python packages such as Scikit and SciPy. You will be awarded Intellipaat’s course completion certificate after successfully completing this training course.

As part of this online Data Science with Python course, you will be working on real-time Python projects that have high relevance in the corporate world, and the curriculum is designed by industry experts. Upon the completion of the Data Science with Python certification, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support, and course material upgrading to the latest version at no extra fees. Hence, it is clearly a one-time investment.

Yes, Intellipaat publishes various blogs on Data Science and Python. Among them, the major ones are Python for Data Science tutorial, Data Science Interview Questions, and Python Interview Questions.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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